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Brasil
Remote only
Not Available
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps Engineer - Advertising Industry based in Brazil.
We are seeking an experienced Senior DevOps Engineer to lead the evolution of cloud infrastructure and developer platforms powering next-generation, AI-native digital solutions. In this role, you will drive cloud architecture, infrastructure automation, continuous integration and delivery, and security practices across complex engineering environments. You will work closely with distributed engineering teams to build highly available, scalable, and reliable systems while improving developer productivity and operational efficiency. Combining deep DevOps expertise with emerging AI-enabled technologies, you will help modernize workflows and accelerate software delivery. This position offers the opportunity to influence technical strategy, optimize cloud operations, and contribute to innovative digital projects within a collaborative, international environment.
As a Senior DevOps Engineer, you will own and continuously improve cloud infrastructure, automation practices, and operational processes. You will collaborate with engineering teams to ensure secure, efficient, and reliable software delivery while introducing innovative AI-driven approaches to infrastructure management and development workflows.
Design, provision, and maintain scalable cloud infrastructure across AWS, GCP, and/or Azure, ensuring high availability and operational reliability.
Build, maintain, and optimize CI/CD pipelines to support secure and efficient software delivery from development through production.
Lead Infrastructure as Code (IaC) practices using Terraform and other automation tools to create consistent, reproducible, and auditable environments.
Manage containerized applications and infrastructure using Docker and Kubernetes.
Implement DevSecOps practices throughout the software development lifecycle, including security scanning, identity and access management (IAM), secrets management, and automated security controls.
Own infrastructure and application observability, including monitoring, logging, alerting, tracing, and incident troubleshooting.
Design and maintain fault-tolerant architectures and implement deployment strategies such as blue-green deployments, canary releases, and feature flags.
Support serverless architectures, cloud-native services, cloud networking, CDNs, load balancers, and edge platforms.
Drive cloud cost optimization and FinOps initiatives by identifying inefficiencies, right-sizing resources, and improving infrastructure utilization.
Improve developer experience by streamlining workflows, enhancing internal tooling, and removing friction throughout the Software Development Lifecycle (SDLC).
Develop automation scripts and operational tools using Python, Bash, and Linux-based technologies.
Maintain technical documentation, architecture guidelines, operational runbooks, and post-incident reviews to support continuous improvement.
Leverage AI-enabled development tools and agentic workflows to accelerate infrastructure automation, debugging, and operational processes.
Orchestrate multi-step AI-driven workflows by selecting appropriate models, tools, and execution strategies for different engineering use cases.
Review and strengthen AI-assisted outputs to ensure security, scalability, maintainability, reliability, and architectural alignment.
Contribute to prompt development, evaluation frameworks, technical documentation, and operational context systems that improve engineering productivity.
Support automated evaluation and feedback mechanisms for AI-enabled engineering workflows.
Requirements:
The ideal candidate brings extensive hands-on DevOps and cloud infrastructure experience, combined with strong automation, security, and problem-solving capabilities. You should be comfortable working across modern cloud environments, collaborating with distributed technical teams, and applying emerging AI technologies to improve engineering operations.
Extensive experience provisioning, managing, and maintaining cloud infrastructure using AWS, GCP, or Azure.
Strong proficiency in Infrastructure as Code, particularly Terraform.
Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins, Bitbucket Pipelines, or equivalent tools.
Hands-on experience managing Docker and Kubernetes in production environments.
Strong understanding of highly available, scalable, and fault-tolerant cloud architectures.
Knowledge of cloud networking, deployment strategies, and web application infrastructure.
Practical experience implementing DevSecOps practices, including cloud security, IAM, secrets management, and automated security scanning.
Experience with observability tools and practices covering monitoring, logging, alerting, and troubleshooting.
Proficiency in Python and Bash scripting, with solid Linux administration skills.
Experience optimizing cloud costs and improving infrastructure efficiency.
Strong understanding of Git and managed development platforms such as GitHub, Bitbucket, or Azure DevOps.
Practical experience using AI-enabled development tools and workflows for engineering, automation, debugging, and operational tasks.
Experience orchestrating multi-step AI or agent-driven workflows, including model selection, tool integration, and execution strategies.
Ability to critically review and improve AI-assisted outputs, ensuring security, scalability, maintainability, reliability, and architectural compatibility.
Experience developing or maintaining prompts, evaluation frameworks, technical documentation, or operational context systems.
Familiarity with automated evaluation and feedback loops for AI-enabled workflows.
Excellent communication skills, with the ability to explain complex technical concepts, collaborate across teams, and produce clear technical documentation.
Nice to Have:
Experience working across multiple cloud providers, particularly AWS, GCP, and Azure.
Additional Infrastructure as Code experience with AWS CloudFormation or Ansible.
Familiarity with serverless technologies such as AWS Lambda, GCP Cloud Functions, or Azure Functions.
Experience with edge platforms and CDNs such as Fastly or AWS CloudFront.
Knowledge of developer platforms such as Vercel, Netlify, or WP Engine.
Familiarity with DevSecOps and observability tools such as Snyk, SonarQube, HashiCorp Vault, Datadog, New Relic, or AWS CloudWatch.
Experience configuring NGINX, Traefik, and load balancers.
Advanced knowledge of cloud cost optimization and FinOps practices.
Previous experience in agency, consultancy, or enterprise SaaS environments.
Background in AI/LLMOps, including agent orchestration, model selection, prompt engineering, and evaluation frameworks.
Relevant AWS, GCP, or Azure certifications.
Benefits:
100% Remote Work: Work from the location where you feel most productive, with just a laptop and a reliable internet connection.
Competitive USD Compensation: Earn an attractive, market-leading salary paid in US dollars.
Paid Time Off: Benefit from paid leave policies that support your well-being and work-life balance.
Autonomy and Flexibility: Manage your schedule independently, with an emphasis on results rather than hours worked.
International Projects: Collaborate on innovative, high-impact projects with leading American companies.
Supportive Culture: Enjoy a workplace that values employee well-being, professional development, and work-life balance.
Global Professional Network: Connect with more than 600 professionals across 25+ countries in a diverse, multicultural environment.
Experienced Colleagues: Work alongside highly skilled senior professionals and exchange knowledge with experts across different technical fields.